It should be clear from the preceding discussion that there are still too many zeros and the table needs to be further aggregated. We can do the following aggregation
Dismissed + Acquitted -> Acquitted
Ongoing + Died + Unknown + Transferred + At Large -> Unknown
Bosniac + Albanian + Unknown + Macedonian -> Other

	  Total Serb Croat Other
Indicted    157  101	32    24
Convicted    69   48	13     8
Acquitted    32   13	 6    13
Unknown      56   40	13     3

Now, under the null hypothesis of that ethnicity and trial status are independent, the expected number of observations is

	  Total  Serb Croat Other
Indicted    157 101.0 32.00 24.00
Convicted    69  44.4 14.10 10.50
Acquitted    32  20.6  6.52  4.89
Unknown      56  36.0 11.40  8.56

The observed deviations are

	       Serb	 Croat	    Other
Convicted 0.2938299 0.08045151	0.6154036
Acquitted 2.7954551 0.04182424 13.4398968
Unknown   0.4384904 0.22037435	3.6118488

add up to 21.5 for 4 degrees of freedom (3-1)x(3-1). So this is clearly significant, with a p-value of 0.025%. The largest deviation is in the acquittal of the "Other". This might be because more "Other" were indicted than should have been, or because more have been acquitted than should have been, and that cannot be answered from the data.

(by the way, the number of degrees of freedom in the previous comment was 35 = (8-1)x(6-1), not 47)

Most economists teach a theoretical framework that has been shown to be fundamentally useless. -- James K. Galbraith